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Address pandas 2.0 deprecation warnings in FBIHateCrimePublications #2111

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Address pandas 2.0 deprecation warnings in FBIHateCrimePublications #2111

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50a885d
testing
niveditasing Jul 23, 2026
8ba8b60
added goldens
niveditasing Jul 23, 2026
691266e
Merge branch 'master' into code_fix_fbi
saanikaaa Jul 30, 2026
0c7419b
changed name
niveditasing Jul 30, 2026
5957265
Merge branch 'code_fix_fbi' of github.com:niveditasing/data into code…
niveditasing Jul 30, 2026
8edc8c5
changed name
niveditasing Jul 30, 2026
a85bbdd
Merge branch 'master' into code_fix_fbi
niveditasing Jul 30, 2026
0ab8a38
Merge branch 'master' into code_fix_fbi
niveditasing Aug 4, 2026
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4 changes: 2 additions & 2 deletions scripts/fbi/hate_crime/table13/preprocess.py
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Expand Up @@ -179,8 +179,8 @@ def _clean_dataframe(df: pd.DataFrame, year: str, table_num: str):
axis=1,
inplace=True,
errors='ignore')
df['state'] = df['state'].fillna(method='ffill')
df['agency type'] = df['agency type'].fillna(method='ffill')
df['state'] = df['state'].ffill()
df['agency type'] = df['agency type'].ffill()

# Assigning agency to state
df.loc[df['agency type'] == 'Total',
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4 changes: 2 additions & 2 deletions scripts/fbi/hate_crime/table14/preprocess.py
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Original file line number Diff line number Diff line change
Expand Up @@ -178,8 +178,8 @@ def _clean_dataframe(df: pd.DataFrame, year: str, table_num: str):
inplace=True,
errors='ignore')

df['state'] = df['state'].fillna(method='ffill')
df['agency type'] = df['agency type'].fillna(method='ffill')
df['state'] = df['state'].ffill()
df['agency type'] = df['agency type'].ffill()

# Cleaning cities
df = df[df['agency'].notna()]
Expand Down